Articles | Volume 10, issue 4
Model evaluation paper
04 Apr 2017
Model evaluation paper |  | 04 Apr 2017

Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications

Christoph Müller, Joshua Elliott, James Chryssanthacopoulos, Almut Arneth, Juraj Balkovic, Philippe Ciais, Delphine Deryng, Christian Folberth, Michael Glotter, Steven Hoek, Toshichika Iizumi, Roberto C. Izaurralde, Curtis Jones, Nikolay Khabarov, Peter Lawrence, Wenfeng Liu, Stefan Olin, Thomas A. M. Pugh, Deepak K. Ray, Ashwan Reddy, Cynthia Rosenzweig, Alex C. Ruane, Gen Sakurai, Erwin Schmid, Rastislav Skalsky, Carol X. Song, Xuhui Wang, Allard de Wit, and Hong Yang


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christoph Müller on behalf of the Authors (05 Jan 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (06 Jan 2017) by Min-Hui Lo
RR by Anonymous Referee #1 (01 Mar 2017)
ED: Publish subject to technical corrections (02 Mar 2017) by Min-Hui Lo
AR by Christoph Müller on behalf of the Authors (07 Mar 2017)  Author's response   Manuscript 
Short summary
Crop models are increasingly used in climate change impact research and integrated assessments. For the Agricultural Model Intercomparison and Improvement Project (AgMIP), 14 global gridded crop models (GGCMs) have supplied crop yield simulations (1980–2010) for maize, wheat, rice and soybean. We evaluate the performance of these models against observational data at global, national and grid cell level. We propose an open-access benchmark system against which future model versions can be tested.